Kay Henning Brodersen

Publication Activity (10 Years)

Years Active: 2008-2017
Publications (10 Years): 2

Top Topics

Pattern Analysis

Top Venues

J. Mach. Learn. Res.

J. Cogn. Neurosci.

Publications

Klaas E. Stephan, Florian Schlagenhauf, Quentin J. M. Huys, Sudhir Raman, Eduardo A. Aponte, Kay Henning Brodersen, Lionel Rigoux, Rosalyn J. Moran, Jean Daunizeau, Ray Dolan, Karl J. Friston, Andreas Heinz
Computational neuroimaging strategies for single patient predictions. NeuroImage 145 (2017)
Ekaterina I. Lomakina, Saee Paliwal, Andreea Oliviana Diaconescu, Kay Henning Brodersen, Eduardo A. Aponte, Joachim M. Buhmann, Klaas E. Stephan
Inversion of hierarchical Bayesian models using Gaussian processes. NeuroImage 118 (2015)
Henry Carrillo, Kay Henning Brodersen, José A. Castellanos
Probabilistic Performance Evaluation for Multiclass Classification Using the Posterior Balanced Accuracy. ROBOT (1) (2013)
Delia-Lisa Feis, Kay Henning Brodersen, D. Yves von Cramon, Eileen Luders, Marc Tittgemeyer
Decoding gender dimorphism of the human brain using multimodal anatomical and diffusion MRI data. NeuroImage 70 (2013)
Andy C. H. Lee, Kay Henning Brodersen, Sarah R. Rudebeck
Disentangling Spatial Perception and Spatial Memory in the Hippocampus: A Univariate and Multivariate Pattern Analysis fMRI Study. J. Cogn. Neurosci. 25 (4) (2013)
Kay Henning Brodersen, Jean Daunizeau, Christoph Mathys, Justin R. Chumbley, Joachim M. Buhmann, Klaas E. Stephan
Variational Bayesian mixed-effects inference for classification studies. NeuroImage 76 (2013)
Kay Henning Brodersen, Katja Wiech, Ekaterina I. Lomakina, Chia-shu Lin, Joachim M. Buhmann, Ulrike Bingel, Markus Ploner, Klaas Enno Stephan, Irene Tracey
Decoding the perception of pain from fMRI using multivariate pattern analysis. NeuroImage 63 (3) (2012)
Kay Henning Brodersen, Christoph Mathys, Justin R. Chumbley, Jean Daunizeau, Cheng Soon Ong, Joachim M. Buhmann, Klaas E. Stephan
Bayesian mixed-effects inference on classification performance in hierarchical data sets. J. Mach. Learn. Res. 13 (2012)
Judith Zimmermann, Kay Henning Brodersen, Jean-Philippe Pellet, Elias August, Joachim M. Buhmann
Predicting Graduate-level Performance from Undergraduate Achievements. EDM (2011)
Kay Henning Brodersen, Florent Haiss, Cheng Soon Ong, Fabienne Jung, Marc Tittgemeyer, Joachim M. Buhmann, Bruno Weber, Klaas E. Stephan
Model-based feature construction for multivariate decoding. NeuroImage 56 (2) (2011)
Kay Henning Brodersen, Thomas M. Schofield, Alexander P. Leff, Cheng Soon Ong, Ekaterina I. Lomakina, Joachim M. Buhmann, Klaas E. Stephan
Generative Embedding for Model-Based Classification of fMRI Data. PLoS Comput. Biol. 7 (6) (2011)
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann
The Binormal Assumption on Precision-Recall Curves. ICPR (2010)
Kay Henning Brodersen, Cheng Soon Ong, Klaas Enno Stephan, Joachim M. Buhmann
The Balanced Accuracy and Its Posterior Distribution. ICPR (2010)
Kay Henning Brodersen, William D. Penny, Lee M. Harrison, Jean Daunizeau, Christian C. Ruff, Emrah Düzel, Karl J. Friston, Klaas E. Stephan
Integrated Bayesian models of learning and decision making for saccadic eye movements. Neural Networks 21 (9) (2008)